Triple

T19422500
Position Surface form Disambiguated ID Type / Status
Subject Garfield Avenue station E485891 entity
Predicate hasBorough P300 FINISHED
Object Bergen-Lafayette NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bergen-Lafayette | Statement: [Garfield Avenue station, hasBorough, Bergen-Lafayette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergen-Lafayette
Context triple: [Garfield Avenue station, hasBorough, Bergen-Lafayette]
  • A. Bergen-Lafayette chosen
    Bergen-Lafayette is a historic, residential neighborhood in Jersey City, New Jersey, known for its diverse community, parks, and revitalizing arts and dining scene.
  • B. Haslet
    Haslet is a small suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its residential communities and proximity to major transportation corridors.
  • C. Gretna
    Gretna is a small but rapidly growing city in eastern Nebraska, known for its convenient location near Omaha and attractions like the Nebraska Crossing outlet mall.
  • D. Gretna
    Gretna is a small Scottish town near the England–Scotland border, historically famous as a destination for runaway weddings.
  • E. Lanham
    Lanham is an unincorporated community in Prince George's County, Maryland, located in the suburban Washington, D.C. metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e632159d7081909d004544ec5992c0 completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.